Papers
3
Total Citations
41
H-Index
3
About
Yulong You is a robotics researcher whose work centers on trajectory tracking control and autonomous perception for ground and aerial robots. His most influential contributions focus on improving motion precision and environmental awareness in complex robotic systems. In his highly cited 2024 paper, You developed a novel approach combining Model Predictive Control (MPC) with Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for ground mobile robot trajectory tracking, achieving robust performance under dynamic conditions. His 2022 work on fully electrically driven quadruped robots introduced an efficient control method that significantly enhances trunk center-of-mass and foot-end trajectory accuracy, addressing a critical challenge in legged locomotion. You also advanced aerial robotics with the RPEOD system, a real-time pose estimation and object detection framework that enables precise target tracking using binocular fisheye cameras. With over 40 cumulative citations across his key publications, You’s research demonstrates practical impact in bridging control theory and perception for autonomous systems. His work is particularly notable for integrating adaptive learning algorithms with traditional control methods, offering scalable solutions for next-generation robotics applications in surveillance, exploration, and industrial automation.
Research Focus
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Top Papers
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